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Author |
Della Penna, Giuseppe; Intrigila, Benedetto; Melatti, Igor; Tronci, Enrico; Venturini Zilli, Marisa |
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Title |
Finite Horizon Analysis of Stochastic Systems with the Mur$\varphi$ Verifier |
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Conference Article |
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Year |
2003 |
Publication |
Theoretical Computer Science, 8th Italian Conference, ICTCS 2003, Bertinoro, Italy, October 13-15, 2003, Proceedings |
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Pages |
58-71 |
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Abstract |
Many reactive systems are actually Stochastic Processes. Automatic analysis of such systems is usually very difficult thus typically one simplifies the analysis task by using simulation or by working on a simplified model (e.g. a Markov Chain). We present a Finite Horizon Probabilistic Model Checking approach which essentially can handle the same class of stochastic processes of a typical simulator. This yields easy modeling of the system to be analyzed together with formal verification capabilities. Our approach is based on a suitable disk based extension of the Mur$\varphi$ verifier. Moreover we present experimental results showing effectiveness of our approach. |
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Springer |
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Editor |
Blundo, C.; Laneve, C. |
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Series Title |
Lecture Notes in Computer Science |
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Series Volume |
2841 |
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ISSN |
3-540-20216-1 |
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yes |
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Call Number |
Sapienza @ mari @ DIMTZ03c |
Serial |
90 |
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Author |
Mari, Federico; Tronci, Enrico |
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Title |
CEGAR Based Bounded Model Checking of Discrete Time Hybrid Systems |
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Conference Article |
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Year |
2007 |
Publication |
Hybrid Systems: Computation and Control (HSCC 2007) |
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399-412 |
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Keywords |
Model Checking, Abstraction, CEGAR, SAT, Hybrid Systems, DTHS |
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Abstract |
Many hybrid systems can be conveniently modeled as Piecewise Affine Discrete Time Hybrid Systems PA-DTHS. As well known Bounded Model Checking (BMC) for such systems comes down to solve a Mixed Integer Linear Programming (MILP) feasibility problem. We present a SAT based BMC algorithm for automatic verification of PA-DTHSs. Using Counterexample Guided Abstraction Refinement (CEGAR) our algorithm gradually transforms a PA-DTHS verification problem into larger and larger SAT problems. Our experimental results show that our approach can handle PA-DTHSs that are more then 50 times larger than those that can be handled using a MILP solver. |
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Springer |
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Bemporad, A.; Bicchi, A.; Buttazzo, G.C. |
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Lecture Notes in Computer Science |
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Series Volume |
4416 |
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yes |
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Sapienza @ mari @ MarTro07 |
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92 |
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Author |
Chierichetti, Flavio; Lattanzi, Silvio; Mari, Federico; Panconesi, Alessandro |
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Title |
On Placing Skips Optimally in Expectation |
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Conference Article |
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Year |
2008 |
Publication |
Web Search and Web Data Mining (WSDM 2008) |
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15-24 |
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Keywords |
Information Retrieval |
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Abstract |
We study the problem of optimal skip placement in an inverted list. Assuming the query distribution to be known in advance, we formally prove that an optimal skip placement can be computed quite efficiently. Our best algorithm runs in time O(n log n), n being the length of the list. The placement is optimal in the sense that it minimizes the expected time to process a query. Our theoretical results are matched by experiments with a real corpus, showing that substantial savings can be obtained with respect to the tra- ditional skip placement strategy, that of placing consecutive skips, each spanning sqrt(n) many locations. |
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Acm |
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Najork, M.; Broder, A.Z.; Chakrabarti, S. |
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yes |
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Call Number |
Sapienza @ mari @ ChiLatMar08 |
Serial |
94 |
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